Building and Environment

Energy-related occupant behavior in buildings is difficult to define and quantify, yet critical to our understanding of total building energy consumption. Part I of this two-part paper introduced the DNAS (Drivers, Needs, Actions and Systems) framework, to standardize the description of energy-related occupant behavior in buildings. Part II of this paper implements the DNAS framework into an XML (eXtensible Markup Language) schema, titled ‘occupant behavior XML’ (obXML). The obXML schema is used for the practical implementation of the DNAS framework into building simulation tools. The topology of the DNAS framework implemented in the obXML schema has a main root element OccupantBehavior, linking three main elements representing Buildings, Occupants and Behaviors. Using the schema structure, the actions of turning on an air conditioner and closing blinds provide two examples of how the schema standardizes these actions using XML. The obXML schema has inherent flexibility to represent numerous, diverse and complex types of occupant behaviors in buildings, and it can also be expanded to encompass new types of behaviors. The implementation of the DNAS framework into the obXML schema will facilitate the development of occupant information modeling (OIM) by providing interoperability between occupant behavior models and building energy modeling programs. © 2015 Elsevier Ltd. All rights reserved.

[1]  A. Mahdavi,et al.  IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings , 2017 .

[2]  Tianzhen Hong,et al.  Advances in research and applications of energy-related occupant behavior in buildings ☆ , 2016 .

[3]  Tianzhen Hong,et al.  An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework , 2015 .

[4]  Abbas Elmualim,et al.  Identifying behavioural predictors of small power electricity consumption in office buildings , 2015 .

[5]  Tianzhen Hong,et al.  An insight into actual energy use and its drivers in high-performance buildings , 2014 .

[6]  Thierry S. Nouidui,et al.  Functional mock-up unit for co-simulation import in EnergyPlus , 2014 .

[7]  Rory V. Jones,et al.  Driving factors for occupant-controlled space heating in residential buildings , 2014 .

[8]  Ian Beausoleil-Morrison,et al.  A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices , 2013 .

[9]  Andreas K. Athienitis,et al.  Manually-operated window shade patterns in office buildings: A critical review , 2013 .

[10]  Bjarne W. Olesen,et al.  Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models , 2012 .

[11]  Kevin Van Den Wymelenberg,et al.  Patterns of occupant interaction with window blinds: A literature review , 2012 .

[12]  Yufan Zhang,et al.  Factors influencing the occupants’ window opening behaviour in a naturally ventilated office building , 2012 .

[13]  Gail Brager,et al.  Window Use in Mixed-Mode Buildings: A Literature Review , 2011 .

[14]  Gregor P. Henze,et al.  The performance of occupancy-based lighting control systems: A review , 2010 .

[15]  Sami Karjalainen,et al.  Thermal comfort and use of thermostats in Finnish homes and offices , 2009 .

[16]  Chuan Wang,et al.  A platform to standardize, store, and visualize proteomics experimental data. , 2009, Acta biochimica et biophysica Sinica.

[17]  K. Steemers,et al.  Time-dependent occupant behaviour models of window control in summer , 2008 .

[18]  Sebastian Herkel,et al.  Towards a model of user behaviour regarding the manual control of windows in office buildings , 2008 .

[19]  Charles Neame,et al.  Towards a contemporary approach for understanding consumer behaviour in the context of domestic energy use , 2007 .

[20]  Anca D. Galasiu,et al.  Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review , 2006 .

[21]  Hassan A. Babaie,et al.  Modeling geological objects with the XML Schema , 2005, Comput. Geosci..

[22]  Vorpat Inkarojrit,et al.  Balancing comfort: occupants' control of window blinds in private offices , 2005 .

[23]  Huaizhong Li,et al.  An Exchange Language for Process Modelling and Model Management , 2004 .

[24]  E. Shove.  Converging Conventions of Comfort, Cleanliness and Convenience , 2003 .

[25]  Michael A. Humphreys,et al.  ADAPTIVE THERMAL COMFORT AND SUSTAINABLE THERMAL STANDARDS FOR BUILDINGS , 2002 .

[26]  Ken Parsons,et al.  Human Thermal Environments: The Effects of Hot, Moderate, and Cold Environments on Human Health, Comfort and Performance , 1999 .

[27]  J. Malchaire,et al.  Human thermal environments: The effects of hot, moderate and cold environments on human health—comfort and performance: The principles and the practice: K.C. Parsons, Taylor & Francis, 359 p. , 1994 .

[28]  Vivian Loftness,et al.  OCCUPANT BEHAVIOR AND SCHEDULE PREDICTION BASED ON OFFICE APPLIANCE ENERGY CONSUMPTION DATA MINING , 2013 .

[29]  Wang Yan,et al.  A metadata management framework for marine information based on XML , 2012 .

[30]  Ardeshir Mahdavi,et al.  USER BEHAVIOR AND ENERGY PERFORMANCE IN BUILDINGS , 2009 .

[31]  Darren Robinson,et al.  A generalised stochastic model for the simulation of occupant presence , 2008 .

[32]  Vorapat Inkarojrit.  MULTIVARIATE PREDICTIVE WINDOW BLIND CONTROL MODELS FOR INTELLIGENT BUILDING FAÇADE SYSTEMS Vorapat Inkarojrit Department of Architecture, Faculty of Architecture, Chulalongkorn University , 2007 .

[33]  K. K. Andersen,et al.  Survey of occupant behaviour and control of indoor environment in Danish dwellings , 2007 .

[34]  Christoph F. Reinhart,et al.  Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .

[35]  Michael Tiller,et al.  Introduction to Physical Modeling with Modelica , 2001 .

[36]  J. F. Nicol.  Characterising occupant behaviour in buildings : towards a stochastic model of occupant use of windows, lights, blinds, heaters and fans , 2001 .

[37]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[38]  Brian W. Kernighan,et al.  AMPL: A Modeling Language for Mathematical Programming , 1993 .